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Joongbin Lim (임중빈)
Joongbin Lim (임중빈)
National Institute of Forest Science
在 korea.kr 的电子邮件经过验证
标题
引用次数
引用次数
年份
Flood Mapping Using Multi-Source Remotely Sensed Data and Logistic Regression in the Heterogeneous Mountainous Regions in North Korea
J Lim, K Lee
Remote Sensing 10 (7), 1036, 2018
512018
Tree species classification using hyperion and sentinel-2 data with machine learning in South Korea and China
J Lim, KM Kim, R Jin
ISPRS International Journal of Geo-Information 8 (3), 150, 2019
472019
Investigating flood susceptible areas in inaccessible regions using remote sensing and geographic information systems
J Lim, K Lee
Environmental monitoring and assessment 189, 1-13, 2017
252017
Machine learning for tree species classification using sentinel-2 spectral information, crown texture, and environmental variables
J Lim, KM Kim, EH Kim, R Jin
Remote Sensing 12 (12), 2049, 2020
222020
Investigation of drought-vulnerable regions in North Korea using remote sensing and cloud computing climate data
J Yu, J Lim, KS Lee
Environmental Monitoring and Assessment 190 (3), 126, 2018
192018
Tracking diurnal to seasonal variations of gross primary productivity using a geostationary satellite, GK-2A advanced meteorological imager
SC Jeong, YR Ryu, B Dechant, X Li, JW Kong, WS Choi, MS Kang, ...
Remote Sensing of Environment 284, 2022
142022
Trend analysis of North Korean forest science research (1962-2016) by data mining
J Lim, KM Kim, MK Kim, JM Yi, JW Park
Journal of Korean Society of Forest Science 109 (1), 81-98, 2020
11*2020
Comparison of thermal effects of different school ground surface materials-Case of Yooljeon Elementary School-
J Lim, J Yu, JY Lee, KS Lee
Journal of the Korean Association of Geographic Information Studies 18 (2 …, 2015
102015
Super resolution of historic Landsat imagery using a dual generative adversarial network (GAN) model with CubeSat constellation imagery for spatially enhanced long-term …
J Kong, Y Ryu, S Jeong, Z Zhong, W Choi, J Kim, K Lee, J Lim, K Jang, ...
ISPRS Journal of Photogrammetry and Remote Sensing 200, 1-23, 2023
92023
A study on pre-evaluation of tree species classification possibility of CAS500-4 using RapidEye satellite imageries
SK Kwon, KM Kim, J Lim
Korean Journal of Remote Sensing 37 (2), 291-304, 2021
9*2021
The Development of Major Tree Species Classification Model using Different Satellite Images and Machine Learning in Gwangneung Area
J Lim, KM Kim, MK Kim
Korean Journal of Remote Sensing 35 (6), 1037-1052, 2019
7*2019
Calibration of BRDF based on the field goniometer system using a UAV multispectral camera
M Kim, C Jin, S Lee, KM Kim, J Lim, C Choi
Sensors 22 (19), 7476, 2022
62022
Spatial and temporal characteristics of tropical nights in Seoul
H Zheng, J Yu, J Lim, K Lee
Environmental Monitoring and Assessment 192, 1-12, 2020
62020
Application of deep learning algorithm for estimating stand volume in South Korea
S Cha, HW Jo, M Kim, C Song, H Lee, E Park, J Lim, D Schepaschenko, ...
Journal of Applied Remote Sensing 16 (2), 024503-024503, 2022
42022
Does deforestation trigger severe flood damage at Hoeryeong City in North Korea?
J Lim, KM Kim, KS Lee
Forests 10 (9), 789, 2019
42019
Practical LAI Estimation with DHP Images in Complex Forest Structure with Rugged Terrain
J Lee, S Cha, J Lim, J Chun, K Jang
Forests 14 (10), 2047, 2023
32023
Analysis on the fire progression and severity variation of the massive forest fire occurred in Uljin, Korea, 2022
S Baek, J Lim, W Kim
Forests 13 (12), 2185, 2022
32022
The Analysis of Changes in Forest Status and Deforestation of North Korea's DMZ Using RapidEye Satellite Imagery and Google Earth
S KWON, E KIM, J LIM, AR YANG
Journal of the Korean Association of Geographic Information Studies 24 (4 …, 2021
32021
Unveiling the Past: Deep-Learning-Based Estimation of Historical Peatland Distribution
S Cha, J Lee, E Choi, J Lim
Land 13 (3), 328, 2024
22024
Deepening the Accuracy of Tree Species Classification: A Deep Learning-Based Methodology
S Cha, J Lim, K Kim, J Yim, WK Lee
Forests 14 (8), 1602, 2023
22023
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